Enhancing the energy efficiency for prolonging the network life time in multi-conditional multi-sensor based wireless sensor network
- Title
- Enhancing the energy efficiency for prolonging the network life time in multi-conditional multi-sensor based wireless sensor network
- Creator
- Kocherla R.; Chandra Sekhar M.; Vatambeti R.
- Description
- A wireless sensor network is one of the networks that is highly demanding by various real-time networking applications nowadays. A huge amount of sensor nodes is deployed in the network randomly and distributed. Most of the applications using wireless sensor network (WSN) are surveillance monitoring applications like a forest, home, healthcare, environment, and remote monitoring systems. Based on the application usage, the type of sensor, a number of sensor nodes are deployed in such a manner where the sensors can be used effectively. But the sensor nodes are restricted in the battery and sensing region. Thus, the battery of the sensor nodes is decreased based on the nodes function. The energy level of the sensor nodes highly affects the network lifetime. Improving the energy efficiency in WSN is one of the most important challenging tasks. Most of the earlier research works have proposed various methods, techniques, and routing protocols, but they are application dependent and as a common method. So, this paper is motivated to propose a Multi-Conditional Network Analysis (MCNA) framework for saving the energy level of the sensor nodes by reducing energy consumption. The MCNA framework involves two different clustering processes with cluster head selection, choosing the best nodes based on the signal strength, and the best route for data transmission. The data transmission is done by cluster based on source-destination based. The simulation results proved that the proposed MCNA framework outperforms the other existing methods. 2022 Northeastern University, China.
- Source
- Journal of Control and Decision, Vol-10, No. 1, pp. 72-81.
- Date
- 2023-01-01
- Publisher
- Taylor and Francis Ltd.
- Subject
- clustering; energy efficiency; signal strength verification; Wireless sensor networks
- Coverage
- Kocherla R., Research scholar, Department of CSE, Presidency University, Bangalore, India; Chandra Sekhar M., Department of CSE, Presidency University, Bangalore, India; Vatambeti R., Department of CSE, CHRIST (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 23307706
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Kocherla R.; Chandra Sekhar M.; Vatambeti R., “Enhancing the energy efficiency for prolonging the network life time in multi-conditional multi-sensor based wireless sensor network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/14762.